With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount of data.
The team at General Intuition
@gen_intuition has a solution: use data from video games! Games teach movement, problem solving, and complex spatial reasoning, and they come in a staggering diversity of forms, covering a wide variety of problems. What’s more, the captured data is high-quality, without the noise or annotation error that can come from
We sat down with
@PimDeWitte and
@AdamJelley2 from the General Intuition team to learn more about their history, their plans, and their philosophy.